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Interventions Targeting Deep Tissue Lymph Nodes May Not Effectively Reduce the Risk of Salmonellosis from Ground Pork Consumption: A Quantitative Microbial Risk Assessment

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  • Yangjunna Zhang
  • Annette M. O'Connor
  • Chong Wang
  • James S. Dickson
  • H. Scott Hurd
  • Bing Wang

Abstract

The inclusion of deep tissue lymph nodes (DTLNs) or nonvisceral lymph nodes contaminated with Salmonella in wholesale fresh ground pork (WFGP) production may pose risks to public health. To assess the relative contribution of DTLNs to human salmonellosis occurrence associated with ground pork consumption and to investigate potential critical control points in the slaughter‐to‐table continuum for the control of human salmonellosis in the United States, a quantitative microbial risk assessment (QMRA) model was established. The model predicted an average of 45 cases of salmonellosis (95% CI = [19, 71]) per 100,000 Americans annually due to WFGP consumption. Sensitivity analysis of all stochastic input variables showed that cooking temperature was the most influential parameter for reducing salmonellosis cases associated with WFGP meals, followed by storage temperature and Salmonella concentration on contaminated carcass surface before fabrication. The input variables were grouped to represent three main factors along the slaughter‐to‐table chain influencing Salmonella doses ingested via WFGP meals: DTLN‐related factors, factors at processing other than DTLNs, and consumer‐related factors. The evaluation of the impact of each group of factors by second‐order Monte Carlo simulation showed that DTLN‐related factors had the lowest impact on the risk estimate among the three groups of factors. These findings indicate that interventions to reduce Salmonella contamination in DTLNs or to remove DTLNs from WFGP products may be less critical for reducing human infections attributable to ground pork than improving consumers’ cooking habits or interventions of carcass decontamination at processing.

Suggested Citation

  • Yangjunna Zhang & Annette M. O'Connor & Chong Wang & James S. Dickson & H. Scott Hurd & Bing Wang, 2019. "Interventions Targeting Deep Tissue Lymph Nodes May Not Effectively Reduce the Risk of Salmonellosis from Ground Pork Consumption: A Quantitative Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2237-2258, October.
    • Handle: RePEc:wly:riskan:v:39:y:2019:i:10:p:2237-2258
    DOI: 10.1111/risa.13317
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    1. Kaatje Els Bollaerts & Winy Messens & Laurent Delhalle & Marc Aerts & Yves Van der Stede & Jeroen Dewulf & Sophie Quoilin & Dominiek Maes & Koen Mintiens & Koen Grijspeerdt, 2009. "Development of a Quantitative Microbial Risk Assessment for Human Salmonellosis Through Household Consumption of Fresh Minced Pork Meat in Belgium," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 820-840, June.
    2. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    3. Hanan Smadi & Jan M. Sargeant, 2013. "Quantitative Risk Assessment of Human Salmonellosis in Canadian Broiler Chicken Breast from Retail to Consumption," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 232-248, February.
    4. Hoffman, Sandra & Maculloch, Bryan & Batz, Michael, 2015. "Economic Burden of Major Foodborne Illnesses Acquired in the United States," Economic Information Bulletin 205081, United States Department of Agriculture, Economic Research Service.
    5. Tine Hald & David Vose & Henrik C. Wegener & Timour Koupeev, 2004. "A Bayesian Approach to Quantify the Contribution of Animal‐Food Sources to Human Salmonellosis," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 255-269, February.
    6. A. N. Swart & F. van Leusden & M. J. Nauta, 2016. "A QMRA Model for Salmonella in Pork Products During Preparation and Consumption," Risk Analysis, John Wiley & Sons, vol. 36(3), pages 516-530, March.
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